商汤把自家 27B 机器人模型和评测框架都开源了,覆盖 12 个仿真基准加 8 台真机,做具身智能的可以拿来直接测。
SenseTime商汤科技
Computer vision and SenseNova models
What they do
Founded in Hong Kong in 2014, SenseTime started in computer vision and now builds the SenseNova large models, with business in smart cities, automotive and office software. It listed in Hong Kong in 2021.
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Stories in the feed that mention this companySenseTime 在 CSDI Summit 上讲了 Prefill 和 Decode 分离部署的做法,用 KV Cache 连接,单次测试吞吐量提升约 5 倍,做推理部署的可以看看。
商汤系公司大晓机器人发了具身基模型 ACE-Brain-0.6,基于 Qwen3.5-9B 微调,六项 Grounding 评测分数超过了 OpenAI GPT-6 Astra,做机器人方向的可以看看评测细节。
The result suggests the agent harness — not just the foundation model — is a decisive lever for robot performance, with a near-doubling of RoboDojo achieved purely through system design. Developers building embodied or multi-agent pipelines can borrow the multi-point EEF prediction and feedback-subagent patterns without retraining models. It also points to a shift in research effort from model scaling toward recursive harness optimisation.
This system represents a significant advancement in energy-efficient AI infrastructure by directly linking power management with liquid cooling technology. For data center operators in Asia, particularly those using Ascend servers, this solution offers a practical approach to reducing energy consumption while maintaining high performance, potentially lowering operational costs by up to 30% compared to traditional cooling methods.
商汤的 SenseNova U1 Pro 图像模型上线了,走交错式思维链生成,最高能出 8K 分辨率图,Raccoon 应用和 API 都能用。
For developers, this provides a large-scale, open-source alternative to other unified vision models.
This report shows how Chinese AI companies are using Claude to train their own models, which could impact the quality and security of their products.